Investigating Pretrained Language Models and Learning Methods for Vietnamese Text-to-SQL
Author:
Affiliation:
1. University of Information Technology, Vietnam National University,Ho Chi Minh City (VNU-HCM) Ho Chi Minh City,Vietnam
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10487636/10487139/10487773.pdf?arnumber=10487773
Reference37 articles.
1. A survey on text-to-sql parsing: Concepts, methods, and future directions;Qin;arXiv preprint,2022
2. Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning;Zhong;CoRR vol. abs/1709.00103,2017
3. Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
4. A Pilot Study of Text-to-SQL Semantic Parsing for Vietnamese
5. RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers
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